Objectives and Research Topics/Areas

Modern healthcare systems are generating massive amount of health data that coupled with exponential advances in technology and computing power have the potential for advancing medical research and improving patient care. The ability to leverage these data also add significant privacy issues, requiring new approaches to investigate potential risks, safeguard patient privacy, and maintain data usability. This interdisciplinary workshop aims at addressing these challenges by bringing together researchers and practitioners to deliberate on technical and non-technical issues, and investigate uncharted challenges and solutions in the domains of Data Privacy and Data Analysis in Healthcare systems. Numerous privacy solutions have been proposed over the years but applications in real healthcare systems are limited. Concerns regarding data fidelity, potential bias in predictive results, interpretability, and usability are among the limiting factors. To address these challenges, this workshop aims at collecting the most innovative state-of-the-art techniques, exploring new solutions, and fostering collaboration across domains to support the development of effective privacy-protecting health data analysis methods. Through quality research papers and talks, the workshop will make a significant contribution toward the development of novel information systems and computational methods to support a responsible use of health data in emerging technologies.

Topics include, but are not limited to:

1. Privacy and Data Sharing: investigating the challenges of maximizing data usability while safeguarding patient privacy in healthcare data/EHR analytics, precision medicine, and data integration

2. Trustworthy AI systems: examining the potential impacts of emerging AI models in biomedical applications, such as privacy risks and predictive bias; applications of AI in healthcare

3. Decentralized Data Analysis: exploring emerging techniques for leveraging data across multiple sites including but not limited to blockchain-based technology, federated learning and swarm learning

4. Health Data Analysis Infrastructure: including but not limited to methodologies and tools, visualization analytics, health management/repositories, and real-world case studies

Paper submission instructions

This workshop will only accept papers that have not been previously published. Papers should be formatted to IEEE Computer Society Proceedings Manuscript Formatting Guidelines ( Click here).

Accepted paper formats (references are counted within the page limits):

Please click here to Submit your paper!

Accepted papers will be published in the IEEE ICHI 2024 proceedings (on IEEE Xplore – Indexed on Scopus and many other platforms). For further information, please see IEEE ICHI 2024 web page @ https://ieeeichi2024.github.io/.

Review procedure

All submitted papers will be reviewed by 3 international program committees. The reviewing process will be single-blind.

Important Dates

Workshop Organizers

General Chairs

Matteo Mantovani Matteo Mantovani, Ph.D.
Department of Computer Science, University of Verona, Italy
matteo.mantovani@univr.it
Luca Bonomi Luca Bonomi, Ph.D.
Department of Biomedical Informatics, Vanderbilt University Medical Center (VUMC), TN, USA
luca.bonomi@vumc.org

Technical Program Committee

Name Position Affiliation
Matteo Mantovani Assistant Professor Department of Computer Science, University of Verona, Italy
Luca Bonomi Assistant Professor Department of Biomedical Informatics, Vanderbilt University Medical Center (VUMC), TN, USA
Xiaoqian Jiang Professor School of Biomedical Informatics, UTHealth, TX, USA
Alex MH Kuo Professor School of Health Information Science, University of Victoria, BC, Canada
Damiano Carra Professor Department of Computer Science, University of Verona, Italy
Eliana Pastor Assistant Professor Department of Control and Computer Engineering (DAUIN), Politecnico di Torino, Italy.
Liyue Fan Assistant Professor College of Computing and Informatics, University of North Carolina at Charlotte, NC, USA
Tsung-Ting Kuo Assistant Professor Department of Biomedical Informatics, University of California at San Diego, CA, USA
Gamze Gürsoy Assistant Professor Department of Biomedical Informatics, Columbia University, NY, USA
Beatrice Amico Postdoc Department of Computer Science, University of Verona, Italy
Chao Yan Postdoc Department of Biomedical Informatics, Vanderbilt University Medical Center (VUMC), TN, USA

Program (Draft)

Time slot Activity
1:00 pm
–
1:10 pm		 Welcome from the   Workshop Chairs
1:10 pm
–
2:10 pm		 Keynote by Prof. Jiang Biang, PhD - "Real-world   data, real-world problems, and real-world opportunities with AI"
Paper ID Authors Title
2:10 pm
–
2:30 pm		 196 Lalitha Donga, Shreya Pramod,   Sumita Mishra and Rajendra K. Raj A Proactive Digital Chain of   Custody for Internet of Healthcare Things (IoHT) Data
2:30 pm
–
2:50 pm		 Coffee Break   @   Event/Exhibition Space
2:50 pm
–
3:10 pm		 216 Syauki A. Thamrin and Arbee L.P.   Chen Detection of Bipolar Disorder on   Social Media Data Utilizing Biomedical, Clinical and Mental Health Domain   Fine-Tuned Word Embeddings
3:10 pm
–
3:30 pm		 209 Anuradha Mahato, Prateek   Sarangi, Vinod Kurmi, Abhirup Banerjee, Abhishek Goyal and Tanmay Basu Uncertainty Quantification in   Deep Learning Framework for Mallampati Classification
3:30 pm
–
3:50 pm		 219 Riccardo Scheda, Matteo   Mantovani, Carlo Combi and Stefano Diciotti A key performance indicator to   analyze swarm learning performances with EHR
3:50 pm
–
4:10 pm		 193 Priyanka Gupta, Arunachala Amuda   Murugan, Deep Chordia, Pavan Kumar Reddy Yannam and Manik Gupta A Comparative Study of Few-Shot   Learning Methods for 1-D ECG Time-series Classification
4:10 pm
–
4:30 pm		 225 Oshani Seneviratne Decentralized, Explainable, and   Personalized Mental Health Monitoring